Fig 3 - uploaded by S. J. Yeates
Content may be subject to copyright.
APSIM-mungbean model validation for the effect of sowing date on yield at Katherine. Observed yields as shown in Yeates and Imrie (1993). cv. King: observed yield , predicted yield (--); cv. Putland: observed yield , predicted yield (—). Least significant difference for the observed data is shown.  

APSIM-mungbean model validation for the effect of sowing date on yield at Katherine. Observed yields as shown in Yeates and Imrie (1993). cv. King: observed yield , predicted yield (--); cv. Putland: observed yield , predicted yield (—). Least significant difference for the observed data is shown.  

Source publication
Article
Full-text available
To demonstrate a model to simulate the risk of weather damage of mungbean, application studies were undertaken using 27 years of climatic data collected at Katherine, Northern Territory, Australia. In terms of the risk of weather damage, the transition from high risk to low risk occurred after mid-February but before 20 March. High quality seed cou...

Similar publications

Article
Full-text available
Crop simulation models are widely used as research tools to explore the impact of various technologies and compliment field experimentation. Machine learning (ML) approaches have emerged as promising artificial intelligence alternative and complimentary tools to the commonly used crop production models. The study was designed to answer the followin...
Article
Full-text available
We demonstrate the effect of varying the channel and land width dimensions of an interdigitated flow field experimentally and through computational modeling. Measured polarization curves (overpotential versus current density) are reported for a symmetric cell with a ferrocyanide-ferricyanide electrolyte in aqueous potassium chloride. A two-dimensio...
Article
Full-text available
When using models to predict crop yields, with frequency there are limitations due to the variables fed into those models. Hence, the need to select the model with either the smallest number of variables or variables that can be estimated by some well known procedures that are also easy to fit. The methodology provided by the Agro-ecological Zones...
Article
Full-text available
A survey of recently published textbooks and journal papers in the field of soil fertility and plant nutrition indicates that the authors seldom see fit to devote much attention to the interplay between nutrients in relation to yield enhancement in field cropping systems. This is a reflection of the widely adopted approach of varying only one or po...
Conference Paper
Full-text available
The Food & Business Applied Research Fund (ARF, NWO-WOTRO) First Call projects and Competitive Research Fund (CRF, PAEPARD ) projects workshop held at Entebbe, Uganda, was jointly organised by the Office of the Food & Business Knowledge Platform and NWO-WOTRO in collaboration with PAEPARD, RUFORUM and AgriProFocus Uganda. The main theme of the work...

Citations

... In northern Australia, the transition from the wet to the dry and dry to wet seasons are periods of high rainfall variability (Mollah 1986). The seasonal transitions have been shown to be important operationally for crops during the wet season in this region (, Yeates et al. 2000). The seasonal transitions will also be important in dry season cotton systems. ...
... Successful perennial crops are harvested during the dry season (e.g., mangoes, sugar). The variable climate necessitates a modelling approach to research outcomes, (i.e., three-year studies may not be representative of the seasonal range), (e.g., Yeates et al. 2000). Failed developments have provided initial capital (land) for subsequent successful industries, (e.g., Ord Stage I, Lakeland Downs). ...
Article
Full-text available
The expression and heritability of quantitative traits were examined in four hybrid mungbean populations, developed by crossing two cultivars, Kiloga and Berken, with two Australian wild accessions, ACC 1 and ACC 87. Phenological, morphological, agronomic and pod and seed traits were measured in the parental, F1, F2, and two F1×parent backcross progeny generations. Plants were grown in large pots on benches, in autumn in the field at Townsville, Australia. The two cultivars were both early flowering (∼5 weeks) and short duration, with short, thick stems, few branches, large leaflets, pods and seeds, and high harvest index. There were greater differences between the two wild accessions. ACC 1 was very late flowering (>12 weeks) even under the short days of autumn, and strongly indeterminate, with prostrate habit, prolific branching, thin stems, small leaflets and tiny seeds. The perennial type ACC 87 was intermediate in flowering (∼6 weeks), with more robust, albeit still branched and twining growth habit, and larger leaflets, flowers, pods and seeds. Flowering in all crosses was conditioned by additive gene action with some dominance effects (with lateness recessive to earliness). The responses suggested that the extreme lateness of ACC 1 was due to the cumulative additive effects of multiple lateness genes. For most other traits, there were broad consistencies in trait expression in hybrid progeny and heritability between the different crosses, indicating general similarities in genetic control. Although broad-sense heritability for most traits was high, narrow-sense heritability was high to very high for twice as many traits in the ACC 87 as in the ACC 1 crosses, indicating higher levels dominance effects in the latter crosses. Several genetic and phenotypic correlations were identified between various traits, as well as associations between quantitative traits in this study and previously reported qualitative traits from the same populations. There were no gross genetic incompatibilities between the wild and cultivated accessions. However, irregularities in the segregation patterns in the progeny generations for seeds per pod suggested that there may have been cryptic hybrid breakdown effects at the gametic or zygotic level. The results of this study indicated that ACC 1 and ACC 87 are genetically distinctive, with the perennial form ACC 87 actually less distant from the domesticated mungbean than is ACC 1. The research provides yet further evidence that the Australian wild accessions add significant diversity to the mungbean primary germplasm.